Laurent Cabaret

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Optimizing connected component labeling is currently a very active research field. Some teams claim to have design the fastest algorithm ever designed. This paper presents a review of these algorithms and a enhanced benchmark that improve classical random images benchmark with a varying granularity set of random images in order to become closer to natural(More)
The AEGIS experiment, currently being set up at the Antiproton Decelerator at CERN, has the objective of studying the free fall of antimatter in the Earth's gravitational field by means of a pulsed cold atomic beam of antihydrogen atoms. Both duration of free fall and vertical displacement of the horizontally emitted atoms will be measured, allowing a first(More)
The paper introduces the parallel version of the Light Speed Labeling (LSL) and compares it with the parallel versions of the competitors. A benchmark shows that the parallel Light Speed Labeling is ×1.8 faster than all the other algorithms for random images on average. This factor reaches ×3.2 for structured random images. More importantly,(More)
High Level Synthesis for System on Chip is a challenging way to cut off development time, while assuming a good level of performance. But the HLS tools are limited by the abstraction level of the description to perform some high level transforms. This paper evaluates the impact of such high level transforms for ASICs and softcores on FPGA. On the(More)
In the last decade, many papers have been published to present sequential connected component labeling (CCL) algorithms. As modern processors are multi-core and tend to many cores, designing a CCL algorithm should address parallelism and multithreading. After a review of sequential CCL algorithms and a study of their variations, this paper presents the(More)
Optimizing connected component labeling is currently a very active research field. The current most effective algorithms although close in their design are based on different memory/computation trade-offs. This paper presents a review of these algorithms and a detailed benchmark on several Intel and ARM embedded processors that allows to focus on their(More)
High Level Synthesis for Systems on Chip is a challenging way to cut off development time, while assuming a good level of performance. But the HLS tools are limited by the abstraction level of the description to perform some high level transforms. This paper evaluates the impact of such high level transforms for ASICs. We have evaluated recursive and non(More)
This paper presents a new multi-pass <i>iterative</i> algorithm for Connected Component Labeling. The performance of this algorithm is compared to those of State-of-the-Art two-pass <i>direct</i> algorithms. We show that thanks to the parallelism of the SIMD multi-core processors and an activity matrix that avoids useless memory access, such algorithms have(More)
The precise measurement of forces is one way to obtain deep insight into the fundamental interactions present in nature. In the context of neutral antimatter, the gravitational interaction is of high interest, potentially revealing new forces that violate the weak equivalence principle. Here we report on a successful extension of a tool from atom(More)
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